Newform data - 2736.2.s.r

Formats: - HTML - YAML - JSON - 2023-06-04T08:16:49.705277

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 10944, 'analytic_conductor': 21.847069993022313, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 19, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 3, 'char_parity': 1, 'char_values': [2736, 3, [1711, 2053, 1217, 1009], [3, 3, 3, 1]], 'cm_discs': [], 'conrey_indexes': [577, 1873], 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [16, -4, 1]], [7, [-3, 1]], [11, [-4, 1]], [13, [25, 5, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76562430649436848, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 19, 3, 1, 3, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2736.2.s.r', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'minimal_twist': '684.2.k.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(4-4\\zeta_{6})q^{5}+3q^{7}+4q^{11}-5\\zeta_{6}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2736.2.s', 'trace_display': [0, 0, 4, 6], 'trace_hash': 1791509478060225151, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.898', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.213', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.479', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '91.551', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.033', 'prec': 17}, 'traces': [2, 0, 0, 0, 4, 0, 6, 0, 0, 0, 8, 0, -5, 0, 0, 0, 0, 0, 8, 0, 0, 0, -4, 0, -11, 0, 0, 0, 8, 0, -2, 0, 0, 0, 12, 0, -10, 0, 0, 0, 8, 0, -5, 0, 0, 0, 8, 0, 4, 0, 0, 0, 4, 0, 16, 0, 0, 0, -12, 0, 1, 0, 0, 0, -40, 0, 3, 0, 0, 0, -16, 0, 15, 0, 0, 0, 24, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, -15, 0, 0, 0, 4, 0, 2, 0, 0, 0, 16, 0, 30, 0, 0, 0, -16, 0, -18, 0, 0, 0, -8, 0, -32, 0, 0, 0, 0, 0, 10, 0, 0, 0, -48, 0, -12, 0, 0, 0, 0, 0, 24, 0, 0, 0, 8, 0, -15, 0, 0, 0, -20, 0, 64, 0, 0, 0, -12, 0, 8, 0, 0, 0, -4, 0, 5, 0, 0, 0, -12, 0, 2, 0, 0, 0, 12, 0, -12, 0, 0, 0, 24, 0, -33, 0, 0, 0, -24, 0, -10, 0, 0, 0, -20, 0, 0, 0, 0, 0, -8, 0, 9, 0, 0, 0, 40, 0, -7, 0, 0, 0, 24, 0, -32, 0, 0, 0, 32, 0, 21, 0, 0, 0, 20, 0, -6, 0, 0, 0, 0, 0, -19, 0, 0, 0, 40, 0, -14, 0, 0, 0, 0, 0, 64, 0, 0, 0, 24, 0, -1, 0, 0, 0, 8, 0, -35, 0, 0, 0, -16, 0, -16, 0, 0, 0, -20, 0, -30, 0, 0, 0, 0, 0, 32, 0, 0, 0, -12, 0, 4, 0, 0, 0, -44, 0, 20, 0, 0, 0, 20, 0, 0, 0, 0, 0, 24, 0, 17, 0, 0, 0, 0, 0, 48, 0, 0, 0, -20, 0, -15, 0, 0, 0, 8, 0, 0, 0, 0, 0, 40, 0, -26, 0, 0, 0, 12, 0, 32, 0, 0, 0, 0, 0, -55, 0, 0, 0, 24, 0, 50, 0, 0, 0, 24, 0, -13, 0, 0, 0, -8, 0, -30, 0, 0, 0, 28, 0, -10, 0, 0, 0, 72, 0, 64, 0, 0, 0, 0, 0, 26, 0, 0, 0, -60, 0, -5, 0, 0, 0, 12, 0, -20, 0, 0, 0, 40, 0, -6, 0, 0, 0, -20, 0, 48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 28, 0, -35, 0, 0, 0, -4, 0, 5, 0, 0, 0, -40, 0, -22, 0, 0, 0, -36, 0, 0, 0, 0, 0, 24, 0, -26, 0, 0, 0, 0, 0, 3, 0, 0, 0, -24, 0, -11, 0, 0, 0, -28, 0, -37, 0, 0, 0, 40, 0, -96, 0, 0, 0, -16, 0, 32, 0, 0, 0, -120, 0, -14, 0, 0, 0, 4, 0, -62, 0, 0, 0, -80, 0, 9, 0, 0, 0, -20, 0, -77, 0, 0, 0, -32, 0, 25, 0, 0, 0, -8, 0, 40, 0, 0, 0, -16, 0, 0, 0, 0, 0, -48, 0, -35, 0, 0, 0, 24, 0, 128, 0, 0, 0, 0, 0, 45, 0, 0, 0, 60, 0, 32, 0, 0, 0, -8, 0, 29, 0, 0, 0, 0, 0, 7, 0, 0, 0, -80, 0, -32, 0, 0, 0, 16, 0, 19, 0, 0, 0, 72, 0, 7, 0, 0, 0, 56, 0, -21, 0, 0, 0, 8, 0, 50, 0, 0, 0, -48, 0, -16, 0, 0, 0, -16, 0, -82, 0, 0, 0, -44, 0, 4, 0, 0, 0, 0, 0, 16, 0, 0, 0, -12, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 36, 0, 62, 0, 0, 0, 20, 0, -10, 0, 0, 0, 40, 0, 26, 0, 0, 0, 12, 0, -50, 0, 0, 0, -36, 0, -41, 0, 0, 0, 0, 0, -19, 0, 0, 0, -96, 0, -10, 0, 0, 0, 24, 0, 1, 0, 0, 0, 80, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 26, 0, 0, 0, 12, 0, 32, 0, 0, 0, 4, 0, 70, 0, 0, 0, -64, 0, 6, 0, 0, 0, -8, 0, 64, 0, 0, 0, 20, 0, 48, 0, 0, 0, -120, 0, 0, 0, 0, 0, -20, 0, -40, 0, 0, 0, 48, 0, -33, 0, 0, 0, 4, 0, -160, 0, 0, 0, 28, 0, 90, 0, 0, 0, 88, 0, 13, 0, 0, 0, 0, 0, -60, 0, 0, 0, 12, 0, -13, 0, 0, 0, 20, 0, 48, 0, 0, 0, -48, 0, -31, 0, 0, 0, 16, 0, 35, 0, 0, 0, -24, 0, -54, 0, 0, 0, 120, 0, 17, 0, 0, 0, 24, 0, 11, 0, 0, 0, 8, 0, -64, 0, 0, 0, -20, 0, 46, 0, 0, 0, -24, 0, 5, 0, 0, 0, 96, 0, 0, 0, 0, 0, 60, 0, -96, 0, 0, 0, 24, 0, 24, 0, 0, 0, 4, 0, -5, 0, 0, 0, 24, 0, 44, 0, 0, 0, 8, 0, 42, 0, 0, 0, 0, 0, 96, 0, 0, 0, 20, 0, -35, 0, 0, 0, 48, 0, 30, 0, 0, 0, 20, 0, -39, 0, 0, 0, 0, 0, -53, 0, 0, 0, 48, 0, -96, 0, 0, 0, -28, 0, 15, 0, 0, 0, -144, 0, 53, 0, 0, 0, 72, 0, 55, 0, 0, 0, -20, 0, -36, 0, 0, 0, 56, 0, -48, 0, 0, 0, -8, 0, 0, 0, 0, 0, -80, 0, -40, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 160, 0, 55, 0, 0, 0, 28, 0, 16, 0, 0, 0, 0, 0, 13, 0, 0, 0, -16, 0, -64, 0, 0, 0, -48, 0, -150, 0, 0, 0, -20, 0, -16, 0, 0, 0, 24, 0, -60, 0, 0, 0, -36, 0, 27, 0, 0, 0, -40, 0, -45, 0, 0, 0, 16, 0, -48, 0, 0, 0, -36, 0, 80, 0, 0, 0, 40, 0, -5, 0, 0, 0, -56, 0, 53, 0, 0, 0, -60, 0, 0, 0, 0, 0, 28, 0, 2, 0, 0, 0, 24, 0, 192, 0, 0, 0, -24, 0, -35, 0, 0, 0, -176, 0, 70, 0, 0, 0, -24, 0, 10, 0, 0, 0, 0, 0, -15, 0, 0, 0, -36, 0, 16, 0, 0, 0, 0, 0, -1, 0, 0, 0, -84, 0, 24, 0, 0, 0, 0, 0, -50, 0, 0, 0, 8, 0, 1, 0, 0, 0, -40, 0, 110, 0, 0, 0, 0, 0, 32, 0, 0, 0, -12, 0, -20, 0, 0, 0, -32, 0, -49, 0, 0, 0, 20, 0, 15, 0, 0, 0, -48, 0, 0, 0, 0, 0, 96, 0, 64, 0, 0, 0, 76, 0, -2, 0, 0, 0, -12, 0, -5, 0, 0, 0, -8, 0, -20, 0, 0, 0, 120, 0, 80, 0, 0, 0, 0, 0, 6, 0, 0, 0, -28, 0, 10, 0, 0, 0, 72, 0, -25, 0, 0, 0, -60, 0, 7, 0, 0, 0, -40, 0, 0, 0, 0, 0, 36, 0, -38, 0, 0, 0, 88, 0, -64, 0, 0, 0, -24, 0, -36, 0, 0, 0, -20, 0, 128, 0, 0, 0, -24, 0, 48, 0, 0, 0, -72, 0, -50, 0, 0, 0, -8, 0, 0, 0, 0, 0, 72, 0, 51, 0, 0, 0, -80, 0, 16, 0, 0, 0, 0, 0, -22, 0, 0, 0, -60, 0, -44, 0, 0, 0, -160, 0, 23, 0, 0, 0, 0, 0, -32, 0, 0, 0, -80, 0, -5, 0, 0, 0, -72, 0, -128, 0, 0, 0, 44, 0, -20, 0, 0, 0, -128, 0, -30, 0, 0, 0, -8, 0, 21, 0, 0, 0, 40, 0, -28, 0, 0, 0, 24, 0, -160, 0, 0, 0, -48, 0, -10, 0, 0, 0, -60, 0, -23, 0, 0, 0, 16, 0, 42, 0, 0, 0, -60, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 120, 0, -15, 0, 0, 0, 44, 0, 60, 0, 0, 0, -48, 0, 5, 0, 0, 0, -24, 0, -75, 0, 0, 0, 0, 0, 48, 0, 0, 0, -16, 0, 27, 0, 0, 0, -16, 0, 96, 0, 0, 0, 24, 0, -64, 0, 0, 0, -80, 0, -24, 0, 0, 0, 36, 0, -192, 0, 0, 0, 120, 0, -21, 0, 0, 0, 40, 0, 15, 0, 0, 0, 40, 0, -21, 0, 0, 0, -48, 0, -22, 0, 0, 0, 4, 0, 160, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 16, 0, -19, 0, 0, 0, -40, 0, 45, 0, 0, 0, -32, 0, -96, 0, 0, 0, -60, 0, 0, 0, 0, 0, 136, 0, 20, 0, 0, 0, -48, 0, 15, 0, 0, 0, -8, 0, 47, 0, 0, 0, 96, 0, 0, 0, 0, 0, 20, 0, -72, 0, 0, 0, 264, 0, 63, 0, 0, 0, 80, 0, 80, 0, 0, 0, -60, 0, -54, 0, 0, 0, -32, 0, 80, 0, 0, 0, 8, 0, -7, 0, 0, 0, 60, 0, 32, 0, 0, 0, -36, 0, 0, 0, 0, 0, -40, 0, -4, 0, 0, 0, -20, 0, 11, 0, 0, 0, -60, 0, 64, 0, 0, 0, 0, 0, -32, 0, 0, 0, 12, 0, -11, 0, 0, 0, 0, 0, 25, 0, 0, 0, 36, 0, 80, 0, 0, 0, 0, 0, -57, 0, 0, 0, -208, 0, -20, 0, 0, 0, 20, 0, -25, 0, 0, 0, 0, 0, -7, 0, 0, 0, -60, 0, 96, 0, 0, 0, 120, 0, 25, 0, 0, 0, 256, 0, 26, 0, 0, 0, -44, 0, -42, 0, 0, 0, -64, 0, 10, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, -21, 0, 0, 0, 120, 0, 110, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -48, 0, 0, 0, -4, 0, 192, 0, 0, 0, 0, 0, -60, 0, 0, 0, 100, 0, -55, 0, 0, 0, 32, 0, -35, 0, 0, 0, 60, 0, -57, 0, 0, 0, 72, 0, 33, 0, 0, 0, -120, 0, -23, 0, 0, 0, 52, 0, -3, 0, 0, 0, -84, 0, -51, 0, 0, 0, -60, 0, -86, 0, 0, 0, 0, 0, -16, 0, 0, 0, 96, 0, -192, 0, 0, 0, -60, 0, 0, 0, 0, 0, 48, 0, 29, 0, 0, 0, 20, 0, -105, 0, 0, 0, -24, 0, -112, 0, 0, 0, -40, 0, -90, 0, 0, 0, -20, 0, 64, 0, 0, 0, 0, 0, -54, 0, 0, 0, -48, 0, 104, 0, 0, 0, 40, 0, 144, 0, 0, 0, -8, 0, -48, 0, 0, 0, 352, 0, -65, 0, 0, 0, 40, 0, -15, 0, 0, 0, 96, 0, 41, 0, 0, 0, 8, 0, 0, 0, 0, 0, -60, 0, 65, 0, 0, 0, -44, 0, -75, 0, 0, 0, -24, 0, -20, 0, 0, 0, 56, 0, 0, 0, 0, 0, -120, 0, -330, 0, 0, 0, 12, 0, -8, 0, 0, 0, -40, 0, 48, 0, 0, 0, 0, 0, 2, 0, 0, 0, 12, 0, 18, 0, 0, 0, 0, 0, 96, 0, 0, 0, -48, 0, 126, 0, 0, 0, -40, 0, 40, 0, 0, 0, 72, 0, -30, 0, 0, 0, -60, 0, -17, 0, 0, 0, -36, 0, -160, 0, 0, 0, 64, 0, -1, 0, 0, 0, -12, 0, 12, 0, 0, 0, -48, 0, 96, 0, 0, 0, -120, 0, 0, 0, 0, 0, -24, 0, 80, 0, 0, 0, 112, 0, 0, 0, 0, 0, -132, 0, 128, 0, 0, 0, -112, 0, 25, 0, 0, 0, 120, 0, 60, 0, 0, 0, -24, 0, -96, 0, 0, 0, -56, 0, 20, 0, 0, 0, 0, 0, 120, 0, 0, 0, -20, 0, -20, 0, 0, 0, 60, 0, -96, 0, 0, 0, -20, 0, 154, 0, 0, 0, 4, 0, 0, 0, 0, 0, 140, 0, 114, 0, 0, 0, -40, 0, -10, 0, 0, 0, -80, 0, 67, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [4, -4], [0, 0], [3, 0], [0, 0], [0, 0], [0, 0], [4, 0], [0, 0], [0, -5], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [5, -2], [0, 0], [0, 0], [0, 0], [0, -4], [0, 0], [0, -11], [0, 0], [0, 0], [0, 0], [0, 8], [0, 0], [-1, 0], [0, 0], [0, 0], [0, 0], [12, -12], [0, 0], [-5, 0], [0, 0], [0, 0], [0, 0], [8, -8], [0, 0], [-5, 5], [0, 0], [0, 0], [0, 0], [0, 8], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [0, 4], [0, 0], [16, -16], [0, 0], [0, 0], [0, 0], [-12, 12], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [-20, 0], [0, 0], [0, 3], [0, 0], [0, 0], [0, 0], [-16, 16], [0, 0], [15, -15], [0, 0], [0, 0], [0, 0], [12, 0], [0, 0], [-7, 7], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, -12], [0, 0], [0, -15], [0, 0], [0, 0], [0, 0], [12, -20], [0, 0], [2, -2], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [4, -4], [3, 0], [4, 0], [0, -5], [0, 0], [5, -2], [0, -4], [0, 8], [-1, 0], [-5, 0], [8, -8], [-5, 5], [0, 8], [0, 4], [-12, 12], [0, 1], [0, 3], [-16, 16], [15, -15], [-7, 7], [0, 0], [0, -12], [2, -2], [0, 16], [15, 0], [-8, 0], [-18, 18], [-4, 0], [0, -12], [0, 0], [0, 8], [0, -15], [-12, 12], [4, 0], [5, -5], [1, 0], [0, 12], [24, -24], [-12, 0], [0, -10], [-4, 0], [9, -9], [20, 0], [0, -7], [21, -21], [-19, 19], [20, 0], [-7, 0], [0, 0], [12, 0], [0, -1], [0, -16], [0, -20], [0, 0], [-12, 12], [4, -4], [10, 0], [0, 20], [0, 0], [0, 0], [0, 0], [20, 0], [0, -26], [0, 12], [25, 0], [-13, 13], [28, -28], [-5, 0], [36, 0], [0, 0], [0, -5], [-10, 0], [-3, 0], [-20, 20], [0, -12], [-35, 35], [-4, 4], [0, -22], [12, 0], [-26, 26], [0, -24], [0, -11], [-37, 37], [0, 40], [-8, 0], [-7, 0], [4, -4], [-31, 0], [-40, 0], [0, -32], [20, 0], [-16, 16], [-35, 35], [0, 24], [0, 0], [-4, 0], [0, 29], [0, 19], [0, 7], [0, 8], [-24, 0], [-8, 0], [-41, 0], [2, 0], [-12, 12], [0, -4], [0, 36], [31, 0], [-5, 0], [26, -26], [0, 12], [-25, 0], [0, -19], [24, -24], [1, -1], [40, 0], [0, 0], [0, 20], [0, 26], [35, 0], [-32, 0], [-4, 0], [24, 0], [-20, 20], [0, -33], [28, -28], [13, -13], [-30, 0], [-13, 13], [20, -20], [0, -31], [35, -35], [-12, 0], [0, 17], [0, 24], [23, 0], [48, 0], [12, 0], [0, 24], [0, 24], [0, 44], [0, 8], [21, 0], [20, -20], [-39, 39], [0, 0], [0, -53], [24, 0], [53, -53], [36, 0], [0, 55], [0, -20], [-40, 40], [24, 0], [25, 0], [28, -28], [0, 13], [0, -16], [-48, 48], [-20, 20], [27, -27], [-40, 40], [8, 0], [-36, 36], [-5, 5], [0, 53], [2, -2], [0, 24], [-12, 0], [-35, 35], [-24, 24], [5, 0], [0, -15], [0, 0], [0, -1], [0, 0], [-25, 0], [1, -1], [0, -20], [-16, 0], [0, -49], [20, -20], [-24, 0], [48, 0], [0, -2], [-5, 5], [-10, 0], [36, 0], [0, -25], [0, -40], [-19, 0], [-24, 24], [0, -20], [0, -24], [0, -50], [51, -51], [-40, 0], [0, 0], [0, -60], [0, -44], [23, -23], [-5, 5], [44, -44], [0, 40], [0, -28], [0, 24], [-48, 48], [-5, 0], [-23, 23], [0, 16], [21, 0], [0, -60], [60, 0], [0, -15], [60, -60], [12, 0], [-40, 0], [36, -36], [0, -21], [-11, 0], [52, -52], [-19, 19], [-40, 40], [0, 45], [-16, 0], [-60, 60], [20, -20], [-24, 0], [0, 15], [0, 47], [-36, 0], [40, 0], [40, 0], [-60, 60], [-27, 0], [-16, 0], [8, -8], [0, -36], [-20, 20], [32, 0], [0, -11], [0, 25], [36, -36], [0, 0], [0, -20], [0, 20], [-7, 7], [0, -60], [13, 0], [-44, 44], [-32, 0], [0, 10], [4, -4], [0, -8], [0, -21], [55, 0], [0, 0], [0, -55], [0, -35], [60, -60], [-57, 57], [-51, 51], [0, -60], [-43, 0], [48, 0], [24, 0], [0, 29], [0, -24], [-45, 0], [32, 0], [-54, 54], [52, 0], [0, -65], [-15, 15], [48, 0], [41, -41], [0, 65], [0, -24], [-60, 0], [-4, 0], [0, 12], [63, 0], [40, -40], [0, 72], [-15, 0], [0, -60], [-17, 17], [32, 0], [-24, 0], [-60, 0], [0, -24], [-56, 0], [25, -25], [-28, 0], [0, 20], [-20, 20], [4, -4], [57, 0], [-10, 10], [-80, 80], [0, 67]], 'char_orbit_index': 19, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 76562430649436848, 'hecke_ring_character_values': [[1711, [1, 0]], [2053, [1, 0]], [1217, [1, 0]], [1009, [0, -1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '2736.2.s.r', 'level': 2736, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_indexes	integer[]
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 10944, 'analytic_conductor': 21.847069993022313, 'char_conductor': 19, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 3, 'char_parity': 1, 'char_values': [2736, 3, [1711, 2053, 1217, 1009], [3, 3, 3, 1]], 'conrey_indexes': [577, 1873], 'cusp_dim': 912, 'dim': 98, 'eis_dim': 96, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 1236984138416, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 8, 8, 8], 'label': '2736.2.s', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'mf_dim': 1008, 'mf_new_dim': 102, 'num_forms': 29, 'prim_orbit_index': 3, 'relative_dim': 49, 'sturm_bound': 960, 'trace_bound': 13, 'trace_display': [0, 0, 1, 0], 'traces': [98, 0, 0, 0, 1, 0, 0, 0, 0, 0, -4, 0, -1, 0, 0, 0, 5, 0, 10, 0, 0, 0, 5, 0, -46, 0, 0, 0, 1, 0, 32, 0, 0, 0, -12, 0, -4, 0, 0, 0, 7, 0, -3, 0, 0, 0, 5, 0, 66, 0, 0, 0, 5, 0, 24, 0, 0, 0, -19, 0, -13, 0, 0, 0, 26, 0, 9, 0, 0, 0, 7, 0, 9, 0, 0, 0, 24, 0, 13, 0, 0, 0, -60, 0, 9, 0, 0, 0, 13, 0, -12, 0, 0, 0, 65, 0, 1, 0, 0, 0, -7, 0, 32, 0, 0, 0, 64, 0, -1, 0, 0, 0, -8, 0, -66, 0, 0, 0, 8, 0, 54, 0, 0, 0, 42, 0, -13, 0, 0, 0, 25, 0, 20, 0, 0, 0, -9, 0, 33, 0, 0, 0, -8, 0, 38, 0, 0, 0, -7, 0, 48, 0, 0, 0, 8, 0, 19, 0, 0, 0, 16, 0, 4, 0, 0, 0, -3, 0, -22, 0, 0, 0, 17, 0, 24, 0, 0, 0, 76, 0, -1, 0, 0, 0, -6, 0, 64, 0, 0, 0, -120, 0, 7, 0, 0, 0, 20, 0, -29, 0, 0, 0, -56, 0, -11, 0, 0, 0, 62, 0, 41, 0, 0, 0, 69, 0, 0, 0, 0, 0, -78, 0, 17, 0, 0, 0, 116, 0, -20, 0, 0, 0, 35, 0, 134, 0, 0, 0, 32, 0, 41, 0, 0, 0, -15, 0, -51, 0, 0, 0, 19, 0, -20, 0, 0, 0, -1, 0, 56, 0, 0, 0, 59, 0, -50, 0, 0, 0, -23, 0, -39, 0, 0, 0, 26, 0, 4, 0, 0, 0, 7, 0, 11, 0, 0, 0, 68, 0, -2, 0, 0, 0, -4, 0, 19, 0, 0, 0, 27, 0, -32, 0, 0, 0, -46, 0, 55, 0, 0, 0, 200, 0, -23, 0, 0, 0, -15, 0, 32, 0, 0, 0, -79, 0, 32, 0, 0, 0, 0, 0, -12, 0, 0, 0, -126, 0, -27, 0, 0, 0, 160, 0, -72, 0, 0, 0, -47, 0, -84, 0, 0, 0, 40, 0, 71, 0, 0, 0, -77, 0, 32, 0, 0, 0, -25, 0, -33, 0, 0, 0, 4, 0, 4, 0, 0, 0, -13, 0, -160, 0, 0, 0, 3, 0, 0, 0, 0, 0, -39, 0, -58, 0, 0, 0, -19, 0, -45, 0, 0, 0, 7, 0, -8, 0, 0, 0, -272, 0, -35, 0, 0, 0, 36, 0, -44, 0, 0, 0, 120, 0, -61, 0, 0, 0, -128, 0, -20, 0, 0, 0, 121, 0, -25, 0, 0, 0, -73, 0, -123, 0, 0, 0, -129, 0, -82, 0, 0, 0, -96, 0, -66, 0, 0, 0, -184, 0, 40, 0, 0, 0, -91, 0, -216, 0, 0, 0, 36, 0, -36, 0, 0, 0, -12, 0, -102, 0, 0, 0, -79, 0, 30, 0, 0, 0, 51, 0, 32, 0, 0, 0, -57, 0, 46, 0, 0, 0, -96, 0, 47, 0, 0, 0, -31, 0, -10, 0, 0, 0, -75, 0, 128, 0, 0, 0, -172, 0, 40, 0, 0, 0, -104, 0, -13, 0, 0, 0, -132, 0, -20, 0, 0, 0, 10, 0, -4, 0, 0, 0, -468, 0, -37, 0, 0, 0, -65, 0, 151, 0, 0, 0, 79, 0, -88, 0, 0, 0, 41, 0, 266, 0, 0, 0, 116, 0, -42, 0, 0, 0, 148, 0, -172, 0, 0, 0, 104, 0, -8, 0, 0, 0, -104, 0, -80, 0, 0, 0, 67, 0, -88, 0, 0, 0, 19, 0, 8, 0, 0, 0, -55, 0, 40, 0, 0, 0, 57, 0, -16, 0, 0, 0, -33, 0, -53, 0, 0, 0, 35, 0, -128, 0, 0, 0, 48, 0, -15, 0, 0, 0, -62, 0, 11, 0, 0, 0, 370, 0, -41, 0, 0, 0, 19, 0, -117, 0, 0, 0, -56, 0, -18, 0, 0, 0, -28, 0, 103, 0, 0, 0, -199, 0, -25, 0, 0, 0, -192, 0, 9, 0, 0, 0, 168, 0, -52, 0, 0, 0, 140, 0, 44, 0, 0, 0, 152, 0, -10, 0, 0, 0, -113, 0, 120, 0, 0, 0, -70, 0, -7, 0, 0, 0, 29, 0, -192, 0, 0, 0, 132, 0, -9, 0, 0, 0, 44, 0, -440, 0, 0, 0, 67, 0, 96, 0, 0, 0, 72, 0, 41, 0, 0, 0, 77, 0, -132, 0, 0, 0, -42, 0, -49, 0, 0, 0, 139, 0, 73, 0, 0, 0, 112, 0, -1, 0, 0, 0, 216, 0, 71, 0, 0, 0, -32, 0, -48, 0, 0, 0, 406, 0, -41, 0, 0, 0, 101, 0, 4, 0, 0, 0, -87, 0, -32, 0, 0, 0, -21, 0, -172, 0, 0, 0, -264, 0, 57, 0, 0, 0, -220, 0, 174, 0, 0, 0, -98, 0, 0, 0, 0, 0, -32, 0, 95, 0, 0, 0, -124, 0, -31, 0, 0, 0, -95, 0, -225, 0, 0, 0, 63, 0, 180, 0, 0, 0, 85, 0, -266, 0, 0, 0, 27, 0, -86, 0, 0, 0, 24, 0, 216, 0, 0, 0, -90, 0, -1, 0, 0, 0, 19, 0, -159, 0, 0, 0, -368, 0, -27, 0, 0, 0, 52, 0, -247, 0, 0, 0, -16, 0, 35, 0, 0, 0, 104, 0, 85, 0, 0, 0, 165, 0, -56, 0, 0, 0, 215, 0, -32, 0, 0, 0, -300, 0, -58, 0, 0, 0, 82, 0, -153, 0, 0, 0, -80, 0, -4, 0, 0, 0, 100, 0, -144, 0, 0, 0, 118, 0, 96, 0, 0, 0, 59, 0, 274, 0, 0, 0, -212, 0, 73, 0, 0, 0, -51, 0, -250, 0, 0, 0, -69, 0, -258, 0, 0, 0, 131, 0, 136, 0, 0, 0, -40, 0, 34, 0, 0, 0, 67, 0, -95, 0, 0, 0, -171, 0, 20, 0, 0, 0, 64, 0, -56, 0, 0, 0, -305, 0, 102, 0, 0, 0, -154, 0, -59, 0, 0, 0, -558, 0, 11, 0, 0, 0, 200, 0, -25, 0, 0, 0, 319, 0, -125, 0, 0, 0, 37, 0, 352, 0, 0, 0, 260, 0, -33, 0, 0, 0, -252, 0, 234, 0, 0, 0, 143, 0, 168, 0, 0, 0, 10, 0, -45, 0, 0, 0, 40, 0, -68, 0, 0, 0, -25, 0, 125, 0, 0, 0, -63, 0, -80, 0, 0, 0, 17, 0, 280, 0, 0, 0, -46, 0, 7, 0, 0, 0, 82, 0, 64, 0, 0, 0, 116, 0, 129, 0, 0, 0, 0, 0, 55, 0, 0, 0, 616, 0, -141, 0, 0, 0, 3, 0, 124, 0, 0, 0, -40, 0, 151, 0, 0, 0, -140, 0, 40, 0, 0, 0, -127, 0, -21, 0, 0, 0, 151, 0, 305, 0, 0, 0, 393, 0, 80, 0, 0, 0, 24, 0, 264, 0, 0, 0, 210, 0, -24, 0, 0, 0, 154, 0, 600, 0, 0, 0, -136, 0, 13, 0, 0, 0, -169, 0, 145, 0, 0, 0, 277, 0, 93, 0, 0, 0, -56, 0, -84, 0, 0, 0, 204, 0, -160, 0, 0, 0, -159, 0, -116, 0, 0, 0, 115, 0, 118, 0, 0, 0, 25, 0, -140, 0, 0, 0, 292, 0, -79, 0, 0, 0, -134, 0, -13, 0, 0, 0, 336, 0, -9, 0, 0, 0, 152, 0, -171, 0, 0, 0, 472, 0, 58, 0, 0, 0, -203, 0, -285, 0, 0, 0, -368, 0, 11, 0, 0, 0, 27, 0, -316, 0, 0, 0, -242, 0, 101, 0, 0, 0, 184, 0, 190, 0, 0, 0, -71, 0, 86, 0, 0, 0, 72, 0, 112, 0, 0, 0, -100, 0, 195, 0, 0, 0, 121, 0, -125, 0, 0, 0, 111, 0, 110, 0, 0, 0, -65, 0, 204, 0, 0, 0, -108, 0, 161, 0, 0, 0, -75, 0, 96, 0, 0, 0, -109, 0, 56, 0, 0, 0, -5, 0, -141, 0, 0, 0, -624, 0, 75, 0, 0, 0, -136, 0, 97, 0, 0, 0, 12, 0, -44, 0, 0, 0, -96, 0, -268, 0, 0, 0, 181, 0, 73, 0, 0, 0, -281, 0, 28, 0, 0, 0, -459, 0, -22, 0, 0, 0, 36, 0, -131, 0, 0, 0, -112, 0, 110, 0, 0, 0, -111, 0, -456, 0, 0, 0, 80, 0, -93, 0, 0, 0, -14, 0, 399, 0, 0, 0, -272, 0, -32, 0, 0, 0, 8, 0, 704, 0, 0, 0, -169, 0, 366, 0, 0, 0, -85, 0, -76, 0, 0, 0, -87, 0, 206, 0, 0, 0, 153, 0, 129, 0, 0, 0, -251, 0, 75, 0, 0, 0, -120, 0, -152, 0, 0, 0, -341, 0, -6, 0, 0, 0, -200, 0, -43, 0, 0, 0, -568, 0, -57, 0, 0, 0, -156, 0, 37, 0, 0, 0, 292, 0, 14, 0, 0, 0, -70, 0, 272, 0, 0, 0, 420, 0, -96, 0, 0, 0, 360, 0, 12, 0, 0, 0, 175, 0, -32, 0, 0, 0, 140, 0, -73, 0, 0, 0, 97, 0, -191, 0, 0, 0, -16, 0, 486, 0, 0, 0, -63, 0, -186, 0, 0, 0, 162, 0, 376, 0, 0, 0, 133, 0, -80, 0, 0, 0, -78, 0, -4, 0, 0, 0, 293, 0, -39, 0, 0, 0, -21, 0, 307, 0, 0, 0, 1008, 0, -1, 0, 0, 0, -87, 0, 348, 0, 0, 0, -112, 0, -64, 0, 0, 0, 458, 0, -93, 0, 0, 0, -221, 0, -177, 0, 0, 0, -218, 0, 115, 0, 0, 0, 369, 0, -154, 0, 0, 0, -104, 0, 254, 0, 0, 0, 424, 0, 164, 0, 0, 0, -207, 0, 200, 0, 0, 0, 0, 0, -159, 0, 0, 0, 77, 0, -497, 0, 0, 0, 277, 0, -25, 0, 0, 0, 157, 0, 508, 0, 0, 0, 264, 0, 250, 0, 0, 0, 161, 0, -164, 0, 0, 0, 128, 0, 608, 0, 0, 0, -113, 0, 209, 0, 0, 0, 404, 0, -81, 0, 0, 0, 432, 0, -29, 0, 0, 0, 401, 0, 103, 0, 0, 0, -128, 0, 218, 0, 0, 0, 650, 0, -24, 0, 0, 0, 123, 0, 232, 0, 0, 0, -261, 0, -101, 0, 0, 0, -1, 0, -228, 0, 0, 0, -234, 0, -120, 0, 0, 0, -148, 0, -598, 0, 0, 0, -228, 0, 318, 0, 0, 0, 160, 0, 71, 0, 0, 0, -188, 0, -128, 0, 0, 0, -35, 0, -205, 0, 0, 0, -18, 0, -100, 0, 0, 0, 178, 0, -168, 0, 0, 0, 8, 0, -35, 0, 0, 0, 124, 0, -136, 0, 0, 0, -259, 0, 246, 0, 0, 0, -129, 0, -88, 0, 0, 0, -936, 0, 207, 0, 0, 0, 59, 0, -163, 0, 0, 0, 28, 0, 151, 0, 0, 0, -36, 0, -61, 0, 0, 0, 336, 0, 117, 0, 0, 0, 253, 0, -459, 0, 0, 0, -499, 0, 60, 0, 0, 0, -26, 0, -268, 0, 0, 0, -464, 0, -204, 0, 0, 0, 236, 0, -616, 0, 0, 0, 50, 0, 116, 0, 0, 0, 104, 0, -201, 0, 0, 0, -183, 0, -128, 0, 0, 0, -93, 0, 320, 0, 0, 0, -302, 0, -124, 0, 0, 0, 14, 0, 149, 0, 0, 0, -199, 0, -240, 0, 0, 0, -7, 0, 245, 0, 0, 0, -464, 0, -117, 0, 0, 0, 228, 0, -16, 0, 0, 0, -504, 0, 0, 0, 0, 0, 468, 0, 328, 0, 0, 0, -808, 0, 56, 0, 0, 0, 171, 0, 423, 0, 0, 0, 259, 0, -2, 0, 0, 0, -108, 0, 838, 0, 0, 0, 448, 0, 231, 0, 0, 0, -590, 0, -416, 0, 0, 0, 91, 0, 14, 0, 0, 0, -84, 0, -249, 0, 0, 0, 189, 0, 172, 0, 0, 0, -30, 0, 120, 0, 0, 0, -184, 0, -380, 0, 0, 0, -251, 0, -368, 0, 0, 0, -57, 0, 204, 0, 0, 0, 179, 0, -300, 0, 0, 0, 284, 0, -111, 0, 0, 0, -27, 0, 263, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 992204
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '684.2.k.a', 'target_level': 684, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992205
    {'conductor': 228, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '684.2.k.a', 'target_level': 684, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '228.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 992206
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '684.2.k.e', 'target_level': 684, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992207
    {'conductor': 76, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '684.2.k.e', 'target_level': 684, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '76.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 992208
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '2736.2.s.b', 'target_level': 2736, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992209
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '2736.2.s.b', 'target_level': 2736, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 992210
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '2736.2.s.r', 'target_level': 2736, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 992211
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '2736.2.s.r', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '2736.2.s.r', 'target_level': 2736, 'twist_class_label': '684.2.k.a', 'twist_class_level': 684, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2631500
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 2}
  • id: 2631501
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 3}
  • id: 2631502
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 5}
  • id: 2631503
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 7}
  • id: 2631504
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 11}
  • id: 2631505
    {'charpoly_factorization': [[[25, 5, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 13}
  • id: 2631506
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 17}
  • id: 2631507
    {'charpoly_factorization': [[[19, -8, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 19}
  • id: 2631508
    {'charpoly_factorization': [[[16, 4, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 23}
  • id: 2631509
    {'charpoly_factorization': [[[64, -8, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 29}
  • id: 2631510
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 31}
  • id: 2631511
    {'charpoly_factorization': [[[5, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 37}
  • id: 2631512
    {'charpoly_factorization': [[[64, -8, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 41}
  • id: 2631513
    {'charpoly_factorization': [[[25, 5, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 43}
  • id: 2631514
    {'charpoly_factorization': [[[64, -8, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 47}
  • id: 2631515
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 53}
  • id: 2631516
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 59}
  • id: 2631517
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 61}
  • id: 2631518
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 67}
  • id: 2631519
    {'charpoly_factorization': [[[256, 16, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 71}
  • id: 2631520
    {'charpoly_factorization': [[[225, -15, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 73}
  • id: 2631521
    {'charpoly_factorization': [[[49, 7, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 79}
  • id: 2631522
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 76562430649436848, 'p': 83}
  • id: 2631523
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 89}
  • id: 2631524
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 76562430649436848, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 19, 'hecke_orbit': 18, 'label': '2736.2.s.r', 'level': 2736, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 243650000
    {'hecke_orbit_code': 76562430649436848, 'n': 1, 'trace_an': 2}
  • id: 243650001
    {'hecke_orbit_code': 76562430649436848, 'n': 2, 'trace_an': 0}
  • id: 243650002
    {'hecke_orbit_code': 76562430649436848, 'n': 3, 'trace_an': 0}
  • id: 243650003
    {'hecke_orbit_code': 76562430649436848, 'n': 4, 'trace_an': 0}
  • id: 243650004
    {'hecke_orbit_code': 76562430649436848, 'n': 5, 'trace_an': 4}
  • id: 243650005
    {'hecke_orbit_code': 76562430649436848, 'n': 6, 'trace_an': 0}
  • id: 243650006
    {'hecke_orbit_code': 76562430649436848, 'n': 7, 'trace_an': 6}
  • id: 243650007
    {'hecke_orbit_code': 76562430649436848, 'n': 8, 'trace_an': 0}
  • id: 243650008
    {'hecke_orbit_code': 76562430649436848, 'n': 9, 'trace_an': 0}
  • id: 243650009
    {'hecke_orbit_code': 76562430649436848, 'n': 10, 'trace_an': 0}
  • id: 243650010
    {'hecke_orbit_code': 76562430649436848, 'n': 11, 'trace_an': 8}
  • id: 243650011
    {'hecke_orbit_code': 76562430649436848, 'n': 12, 'trace_an': 0}
  • id: 243650012
    {'hecke_orbit_code': 76562430649436848, 'n': 13, 'trace_an': -5}
  • id: 243650013
    {'hecke_orbit_code': 76562430649436848, 'n': 14, 'trace_an': 0}
  • id: 243650014
    {'hecke_orbit_code': 76562430649436848, 'n': 15, 'trace_an': 0}
  • id: 243650015
    {'hecke_orbit_code': 76562430649436848, 'n': 16, 'trace_an': 0}
  • id: 243650016
    {'hecke_orbit_code': 76562430649436848, 'n': 17, 'trace_an': 0}
  • id: 243650017
    {'hecke_orbit_code': 76562430649436848, 'n': 18, 'trace_an': 0}
  • id: 243650018
    {'hecke_orbit_code': 76562430649436848, 'n': 19, 'trace_an': 8}
  • id: 243650019
    {'hecke_orbit_code': 76562430649436848, 'n': 20, 'trace_an': 0}
  • id: 243650020
    {'hecke_orbit_code': 76562430649436848, 'n': 21, 'trace_an': 0}
  • id: 243650021
    {'hecke_orbit_code': 76562430649436848, 'n': 22, 'trace_an': 0}
  • id: 243650022
    {'hecke_orbit_code': 76562430649436848, 'n': 23, 'trace_an': -4}
  • id: 243650023
    {'hecke_orbit_code': 76562430649436848, 'n': 24, 'trace_an': 0}
  • id: 243650024
    {'hecke_orbit_code': 76562430649436848, 'n': 25, 'trace_an': -11}
  • id: 243650025
    {'hecke_orbit_code': 76562430649436848, 'n': 26, 'trace_an': 0}
  • id: 243650026
    {'hecke_orbit_code': 76562430649436848, 'n': 27, 'trace_an': 0}
  • id: 243650027
    {'hecke_orbit_code': 76562430649436848, 'n': 28, 'trace_an': 0}
  • id: 243650028
    {'hecke_orbit_code': 76562430649436848, 'n': 29, 'trace_an': 8}
  • id: 243650029
    {'hecke_orbit_code': 76562430649436848, 'n': 30, 'trace_an': 0}
  • id: 243650030
    {'hecke_orbit_code': 76562430649436848, 'n': 31, 'trace_an': -2}
  • id: 243650031
    {'hecke_orbit_code': 76562430649436848, 'n': 32, 'trace_an': 0}
  • id: 243650032
    {'hecke_orbit_code': 76562430649436848, 'n': 33, 'trace_an': 0}
  • id: 243650033
    {'hecke_orbit_code': 76562430649436848, 'n': 34, 'trace_an': 0}
  • id: 243650034
    {'hecke_orbit_code': 76562430649436848, 'n': 35, 'trace_an': 12}
  • id: 243650035
    {'hecke_orbit_code': 76562430649436848, 'n': 36, 'trace_an': 0}
  • id: 243650036
    {'hecke_orbit_code': 76562430649436848, 'n': 37, 'trace_an': -10}
  • id: 243650037
    {'hecke_orbit_code': 76562430649436848, 'n': 38, 'trace_an': 0}
  • id: 243650038
    {'hecke_orbit_code': 76562430649436848, 'n': 39, 'trace_an': 0}
  • id: 243650039
    {'hecke_orbit_code': 76562430649436848, 'n': 40, 'trace_an': 0}
  • id: 243650040
    {'hecke_orbit_code': 76562430649436848, 'n': 41, 'trace_an': 8}
  • id: 243650041
    {'hecke_orbit_code': 76562430649436848, 'n': 42, 'trace_an': 0}
  • id: 243650042
    {'hecke_orbit_code': 76562430649436848, 'n': 43, 'trace_an': -5}
  • id: 243650043
    {'hecke_orbit_code': 76562430649436848, 'n': 44, 'trace_an': 0}
  • id: 243650044
    {'hecke_orbit_code': 76562430649436848, 'n': 45, 'trace_an': 0}
  • id: 243650045
    {'hecke_orbit_code': 76562430649436848, 'n': 46, 'trace_an': 0}
  • id: 243650046
    {'hecke_orbit_code': 76562430649436848, 'n': 47, 'trace_an': 8}
  • id: 243650047
    {'hecke_orbit_code': 76562430649436848, 'n': 48, 'trace_an': 0}
  • id: 243650048
    {'hecke_orbit_code': 76562430649436848, 'n': 49, 'trace_an': 4}
  • id: 243650049
    {'hecke_orbit_code': 76562430649436848, 'n': 50, 'trace_an': 0}
  • id: 243650050
    {'hecke_orbit_code': 76562430649436848, 'n': 51, 'trace_an': 0}
  • id: 243650051
    {'hecke_orbit_code': 76562430649436848, 'n': 52, 'trace_an': 0}
  • id: 243650052
    {'hecke_orbit_code': 76562430649436848, 'n': 53, 'trace_an': 4}
  • id: 243650053
    {'hecke_orbit_code': 76562430649436848, 'n': 54, 'trace_an': 0}
  • id: 243650054
    {'hecke_orbit_code': 76562430649436848, 'n': 55, 'trace_an': 16}
  • id: 243650055
    {'hecke_orbit_code': 76562430649436848, 'n': 56, 'trace_an': 0}
  • id: 243650056
    {'hecke_orbit_code': 76562430649436848, 'n': 57, 'trace_an': 0}
  • id: 243650057
    {'hecke_orbit_code': 76562430649436848, 'n': 58, 'trace_an': 0}
  • id: 243650058
    {'hecke_orbit_code': 76562430649436848, 'n': 59, 'trace_an': -12}
  • id: 243650059
    {'hecke_orbit_code': 76562430649436848, 'n': 60, 'trace_an': 0}
  • id: 243650060
    {'hecke_orbit_code': 76562430649436848, 'n': 61, 'trace_an': 1}
  • id: 243650061
    {'hecke_orbit_code': 76562430649436848, 'n': 62, 'trace_an': 0}
  • id: 243650062
    {'hecke_orbit_code': 76562430649436848, 'n': 63, 'trace_an': 0}
  • id: 243650063
    {'hecke_orbit_code': 76562430649436848, 'n': 64, 'trace_an': 0}
  • id: 243650064
    {'hecke_orbit_code': 76562430649436848, 'n': 65, 'trace_an': -40}
  • id: 243650065
    {'hecke_orbit_code': 76562430649436848, 'n': 66, 'trace_an': 0}
  • id: 243650066
    {'hecke_orbit_code': 76562430649436848, 'n': 67, 'trace_an': 3}
  • id: 243650067
    {'hecke_orbit_code': 76562430649436848, 'n': 68, 'trace_an': 0}
  • id: 243650068
    {'hecke_orbit_code': 76562430649436848, 'n': 69, 'trace_an': 0}
  • id: 243650069
    {'hecke_orbit_code': 76562430649436848, 'n': 70, 'trace_an': 0}
  • id: 243650070
    {'hecke_orbit_code': 76562430649436848, 'n': 71, 'trace_an': -16}
  • id: 243650071
    {'hecke_orbit_code': 76562430649436848, 'n': 72, 'trace_an': 0}
  • id: 243650072
    {'hecke_orbit_code': 76562430649436848, 'n': 73, 'trace_an': 15}
  • id: 243650073
    {'hecke_orbit_code': 76562430649436848, 'n': 74, 'trace_an': 0}
  • id: 243650074
    {'hecke_orbit_code': 76562430649436848, 'n': 75, 'trace_an': 0}
  • id: 243650075
    {'hecke_orbit_code': 76562430649436848, 'n': 76, 'trace_an': 0}
  • id: 243650076
    {'hecke_orbit_code': 76562430649436848, 'n': 77, 'trace_an': 24}
  • id: 243650077
    {'hecke_orbit_code': 76562430649436848, 'n': 78, 'trace_an': 0}
  • id: 243650078
    {'hecke_orbit_code': 76562430649436848, 'n': 79, 'trace_an': -7}
  • id: 243650079
    {'hecke_orbit_code': 76562430649436848, 'n': 80, 'trace_an': 0}
  • id: 243650080
    {'hecke_orbit_code': 76562430649436848, 'n': 81, 'trace_an': 0}
  • id: 243650081
    {'hecke_orbit_code': 76562430649436848, 'n': 82, 'trace_an': 0}
  • id: 243650082
    {'hecke_orbit_code': 76562430649436848, 'n': 83, 'trace_an': 0}
  • id: 243650083
    {'hecke_orbit_code': 76562430649436848, 'n': 84, 'trace_an': 0}
  • id: 243650084
    {'hecke_orbit_code': 76562430649436848, 'n': 85, 'trace_an': 0}
  • id: 243650085
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  • id: 243650086
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  • id: 243650088
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  • id: 243650090
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  • id: 243650092
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  • id: 243650094
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  • id: 243650096
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  • id: 243650098
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  • id: 243650100
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  • id: 243650101
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  • id: 243650102
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  • id: 243650103
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  • id: 243650104
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  • id: 243650106
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  • id: 243650108
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  • id: 243650112
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  • id: 243650116
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  • id: 243650126
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  • id: 243650128
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  • id: 243650129
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  • id: 243650132
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  • id: 243650138
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  • id: 243650142
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  • id: 243650144
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  • id: 243650146
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  • id: 243650148
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  • id: 243650150
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  • id: 243650152
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  • id: 243650156
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  • id: 243650160
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  • id: 243650166
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  • id: 243650168
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  • id: 243650170
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  • id: 243650172
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  • id: 243650176
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  • id: 243650178
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  • id: 243650180
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  • id: 243650181
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  • id: 243650182
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  • id: 243650183
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  • id: 243650184
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  • id: 243650185
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  • id: 243650186
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  • id: 243650187
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  • id: 243650188
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  • id: 243650189
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  • id: 243650190
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  • id: 243650191
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  • id: 243650192
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  • id: 243650193
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  • id: 243650194
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  • id: 243650195
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  • id: 243650196
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  • id: 243650197
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  • id: 243650198
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  • id: 243650200
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  • id: 243650202
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  • id: 243650204
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  • id: 243650205
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  • id: 243650206
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  • id: 243650207
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  • id: 243650208
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  • id: 243650209
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  • id: 243650210
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  • id: 243650211
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  • id: 243650212
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  • id: 243650214
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  • id: 243650218
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  • id: 243650219
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  • id: 243650220
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  • id: 243650221
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  • id: 243650222
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  • id: 243650223
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  • id: 243650224
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  • id: 243650225
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  • id: 243650226
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  • id: 243650227
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  • id: 243650228
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  • id: 243650229
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  • id: 243650230
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  • id: 243650231
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  • id: 243650232
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  • id: 243650234
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  • id: 243650235
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  • id: 243650236
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  • id: 243650238
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